feat(agent): 增加 LLM 路由与诊断日志

tests/test_file_summary_skills.py

@@ -1,4 +1,5 @@
 import pytest
+import logging
 
 from review_agent.file_summary.skills.base import BaseSkill, SkillResult, WorkflowContext
 from review_agent.file_summary.skills.registry import SkillRegistry
@@ -25,3 +26,21 @@ def test_skill_registry_executes_registered_skill(django_user_model):
 
     assert result.success is True
     assert result.data == {"batch_id": batch.id}
+
+
+@pytest.mark.django_db
+def test_skill_registry_logs_skill_lifecycle(caplog, django_user_model):
+    from review_agent.models import Conversation, FileSummaryBatch
+
+    user = django_user_model.objects.create_user(username="owner", password="pass")
+    conversation = Conversation.objects.create(user=user, title="会话")
+    batch = FileSummaryBatch.objects.create(conversation=conversation, user=user, batch_no="FS-LOG")
+    registry = SkillRegistry()
+    registry.register(EchoSkill())
+
+    with caplog.at_level(logging.INFO, logger="review_agent.file_summary"):
+        registry.execute("echo", WorkflowContext(batch=batch))
+
+    messages = [record.getMessage() for record in caplog.records]
+    assert any("Skill started" in message and "echo" in message for message in messages)
+    assert any("Skill finished" in message and "echo" in message for message in messages)